Braking Force Distribution Research in Electric Vehicle Regenerative Braking Strategy

2012 ◽  
Author(s):  
Zhao Ling ◽  
Tang Lan
Keyword(s):  
Electric Vehicle ◽  
Regenerative Braking ◽  
Force Distribution ◽  
Braking Force

scholarly journals Research on braking energy recovery strategy of electric vehicle based on ECE regulation and I curve

2019 ◽  
Vol 103 (1) ◽  
pp. 003685041987776 ◽  
Author(s):  
Shengqin Li ◽  
Bo Yu ◽  
Xinyuan Feng
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Energy Recovery ◽  
State Of Charge ◽  
Regenerative Braking ◽  
Force Distribution ◽  
Battery State Of Charge ◽  
Braking Force ◽  
Braking Control ◽  
Braking Energy Recovery

Electric vehicles can convert the kinetic energy of the vehicle into electric energy for recycling. A reasonable braking force distribution strategy is the key to ensure braking stability and the energy recovery rate. For an electric vehicle, based on the ECE regulation curve and ideal braking force distribution (I curve), the braking force distribution strategy of the front and rear axles is designed to study the braking energy recovery control strategy. The fuzzy control method is adopted while the charging power limit of the battery is considered to correct the regenerative braking torque of the motor, the ratio of the regenerative braking force of the motor to the front axle braking force is designed according to different braking strengths, then the braking force distribution and braking energy recovery control strategies for regenerative braking and friction braking are developed. The simulation model of combined vehicle and energy recovery control strategy is established by Simulink and Cruise software. The braking energy recovery control strategy of this article is verified under different braking conditions and New European Driving Cycle conditions. The results show that the control strategy proposed in this article meets the requirements of braking stability. Under the condition of initial state of charge of 75%, the variation of state of charge of braking control strategy in this article is reduced by 8.22%, and the state of charge of braking strategy based on I curve reduces by 9.12%. The braking force distribution curves of the front and rear axle are in line with the braking characteristics, can effectively recover the braking energy, and improve the battery state of charge. Taking the using range of 95%–5% of battery state of charge as calculation target, the cruising range of vehicle with braking control strategy of this article increases to 136.64 km, which showed that the braking control strategy in this article could increase the cruising range of the electric vehicle.

Research on Electro-Mechanical Braking System Control of EV Based on Maximum Energy Recovery Strategy

2015 ◽  
Vol 740 ◽  
pp. 196-200
Author(s):  
Qing Nian Wang ◽  
Shi Xin Song ◽  
Shao Kun Li ◽  
Wei Chen Zhao ◽  
Feng Xiao
Keyword(s):  
Control Strategy ◽  
Influence Factors ◽  
Maximum Energy ◽  
Regenerative Braking ◽  
Force Distribution ◽  
System Control ◽  
Braking System ◽  
Power Battery ◽  
Braking Force ◽  
The Ideal

With the analysis of influence factors on regenerative braking in electro-mechanical braking system, and considering the power battery charging characteristics, a regenerative braking system control strategy for electric vehicle is researched in this paper. The models of the motor and the whole vehicle are built in AMESim. The control effects and the braking force distribution on front and rear wheels of the control strategy in an FTP-72 driving cycle are simulated and analyzed. The simulation results show that the control strategy could be utilized in the 4WD electric vehicles. The ideal braking force distribution on front and rear wheels and the high amount of recovery energy could be achieved.

Study of a Method for Improving the Anti-Lock Brake System of Electric Vehicle

2012 ◽  
Vol 157-158 ◽  
pp. 542-545 ◽  
Author(s):  
Liang Chu ◽  
Liang Yao ◽  
Zi Liang Zhao ◽  
Wen Ruo Wei ◽  
Yong Sheng Zhang
Keyword(s):  
Electric Vehicle ◽  
Energy Recovery ◽  
Control Algorithm ◽  
System Structure ◽  
Regenerative Braking ◽  
Threshold Control ◽  
Braking System ◽  
Simulink Model ◽  
Braking Force ◽  
The Stability

The Anti-lock Braking System (ABS) of Electric Vehicle (EV) is improved in this paper. Based on the research of system structure and motor, a new method is proposed to adjust the threshold and coordinate the motor braking force with the friction braking force. So the traditional threshold control algorithm of ABS is improved for the EV. The simulation results based on the MATLAB/Simulink model indicate that the improved ABS can keep the wheels in the stability region and decrease the motor regenerative braking force as soon as possible. The balance between brake safety and energy recovery is achieved through this method.

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